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4 results for “Model order reduction”
Linear Time Varying System Examples for Model Order Reduction
<p>Three linear time varying system benchmarks implemented in MATLAB. </p> <p>1.) a time varying version of the Oberwolfach Steel Cooling Benchmark</p> <p>2.) a one dimensional heat equation with a moving point heat source</p> <p>3.) a linearized Burgers equation</p> <p>Model 1 comes in the same 5 resolutions as the original time-invariant version. the other two are freely scalable.</p> <p> </p>
A zero to four parameter instationary thermal-block-type benchmark model for parametric model order reduction
<p>We specify a new benchmark for parametric model order reduction that is scalable both in degrees of<br> freedom as well as parameter dimension.</p>
Benchmark Systems for Paper: Optimization-Based Model Order Reduction of Port-Hamiltonian Descriptor Systems
<p>Benchmark Systems for Paper: Optimization-Based Model Order Reduction of Port-Hamiltonian Descriptor Systems</p> <p>Contains:</p> <p>Index 2 Oseen Models and Index1/2 RCL circuits in port-Hamiltonian form.</p>
Projection matrices for numerical examples of "An adaptive model order reduction technique for parameter-dependent modular structures"
<p>This data set contains supplementary data for the paper:<br> 'An adaptive model order reduction technique for parameter-dependent modular structures'</p> <p>The Authors are:<br> Stephan Ritzert (a), Domen Macek (a), Jaan-Willen Simon (b), Stefanie Reese (a)</p> <p>Affiliations:<br> (a) Institute of Applied Mechanics, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany<br> (b) Civil Engineering Mechanics, University of Wuppertal, Pauluskirchstr. 7, 42285 Wuppertal, Germany</p> <p>Contact: stephan.ritzert@ifam.rwth-aachen.de</p> <p>### The Dataset ###</p> <p>The dataset contains all mesh files and all projection matrices used for the numerical examples 2,3, and 4.</p> <p>Example 2: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p>Example 3: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p><br> Example 4: Naming of projections matrices<br> -curved: The projection matrices depend on the parameter phi: {20,30,...,90}<br> The name of the projection matrix is 'PsiIso' + phi + '.txt'</p> <p> -rectangle: The projection matrices depend on the parameter lx: {600,800,1000,1200}<br> The name of the projection matrix is 'PsiIso' + lx + '.txt'</p> <p> </p> <p> </p>
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